At the Crossroads Between Psychiatry and Machine Learning
Insights Into Paradigms and Challenges for Clinical Applicability
Datos Bibliográficos
| ID | 15528481 |
|---|---|
| Autores | Sarah Itani (0000-0003-4605-9748, Fund for Scientific Research, autor de correspondencia), Mandy Rossignol (0000-0001-8606-7836, University of Mons) |
| Año | 2020 |
| Volumen | 11 |
| Páginas | 552262-552262 |
| Fecha de publicación | 2020-09-24 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Frontiers in Psychiatry (JOURNAL) |
| Identificadores de la revista | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Editorial | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2020.552262 |
| PMID | 33192664 |
| OpenAlex | W3089307385 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 40 |
peer reviewed
Clinical psychiatry · Psychiatry · Health, Environment, Cognitive Aging · Machine Learning in Healthcare · Mental Health Research Topics · Psychology
Machine Learning Approaches for Clinical Psychology and Psychiatry
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Computational psychiatry as a bridge from neuroscience to clinical applications
Jalons pour une théorie critique du Manuel diagnostique et statistique des troubles mentaux (DSM)
| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 2 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |